Find Academic Supervisors

Kevin BönischView profile

Researcher

• Artificial Intelligence
• Natural Language Processing
• 3D Visualization
• +7 more

Kevin Bönisch is a researcher at the Text Technology Lab, Goethe University Frankfurt. With a background in software development (5 years as C# .NET full-stack developer) and concurrent Master's studies in Computer Science, he bridges practical software engineering with academic research through projects like the Unified Corpus Explorer and Viki LibraRy virtual reality systems. His work spans NLP, 3D visualization, and machine learning applications. DFG New Data Spaces program contributor Kaggle competition participant GitHub demonstrator Research focuses include annotation-based corpus exploration , causal inference in LLMs , and collaborative hypertext systems . His 2025 NAACL Best Demo Paper showcased UCE system innovations, while 2024 LIRAI workshop work demonstrated legal document retrieval via SVR ensembles. Notable awards include IAV-Coding competition first place , DESIGNRUSH website design recognition , and Goethe-University Innovation Prize finalist . Key projects: ROBERT dialogue system , BIOfid biodiversity service , and Bundestags-Mine legislative analysis .

Dustin RichmondView profile

Assistant Professor

• Computer Architecture
• FPGA
• RISC-V
• +4 more

Dustin Richmond is an Assistant Professor in the Department of Computer Science and Engineering at the Baskin School of Engineering, University of California, Santa Cruz. His work focuses on secure, usable hardware systems with applications in FPGA acceleration, RISC-V architectures, and side-channel analysis. Email: drichmond@ucsc Office: Engineering 2, Room 221 Research Interests: Secure hardware systems FPGA-based computing Manycore processors High-level synthesis Side-channel vulnerabilities Notable Article Trends: Recent publications emphasize cloud FPGA security, manycore design optimization, and hardware security. Earlier works focus on RISC-V acceleration, OpenCL compiler enhancements, and heterogeneous computing systems. GitHub Contributions: Maintains open-source projects like RISC-V-On-PYNQ and PYNQ-HLS, addressing FPGA programming challenges and RISC-V integration. Active in resolving community issues related to toolchain compatibility and hardware-software interfaces.

Thales BertagliaView profile

Research Fellow

• Computational Social Science
• Digital Governance
• Law and Technology
• +5 more

Thales Bertaglia is a Research Fellow at Utrecht University's Faculty of Law, Economics, and Governance, where he contributes to the ERC Starting Grant HUMANads project. His work integrates computational social science, digital governance, and legal frameworks to enhance transparency and accountability in social media ecosystems, focusing on content monetisation and platform fairness. His research spans the creator economy, algorithmic systems, and platform regulation, employing machine learning and natural language processing to develop tools for detecting online harms and operationalising legal norms. Key methodologies include building reproducible, explainable AI systems that empower users, creators, and regulators through legally grounded computational tasks. Bertaglia's recent publications (2023-2025) reveal a strong focus on influencer marketing compliance, synthetic data generation, and hate speech detection. Cross-cutting themes include multi-country regulatory comparisons, toxicity monetisation patterns, and LLM-augmented annotation for sponsored content detection, demonstrating interdisciplinary convergence of law, computer science, and social sciences. Scientific recognition includes: Best Paper Runner-Up Award at OASIS 2024 for analyzing YouTube's controversy-driven engagement Funded by the ERC Starting Grant HUMANads, Bertaglia collaborates with legal scholars and computer scientists on EU digital policy implementation. His research informs regulatory bodies like the European Commission and UK Parliament, with grant work emphasizing legally compliant AI systems for platform governance. Though no formal advisees are documented, his GitHub repositories support reproducible research in sponsored content detection. As part of Utrecht University's digital governance initiative, Bertaglia contributes to the HUMANads project team, developing computational frameworks for the Digital Services Act. His work interfaces with platform APIs and legal compliance mechanisms, focusing on stakeholder empowerment through transparent algorithmic systems.

Andreas JohannsenView profile

Professor

• System development and integration
• Business application systems
• Value-oriented corporate management
• +12 more

Prof. Dr. Andreas Johannsen is a Professor of System Development and Integration at the Brandenburg University of Technology (FH Brandenburg) in Germany. He serves as the Managing Director of the Institute for Business Application Systems (IBAW) and has been actively involved in teaching, research, and industry collaboration since joining the university in 2006. His academic journey includes an MBA from the University of Edinburgh (1993-1994) and Business Administration studies at Eberhard Karls University Tübingen (1991-1993). Prior to his academic career, he accumulated substantial industry experience at SAP Deutschland, Mummert Consulting, and KPMG Consulting/BearingPoint, bringing practical insights to his academic work. Member of the IPv6 Council at the Hasso-Plattner-Institute since 2014 Board member of the Computer Science Department Conference (2014-2016) Managing Director of the Institute for Business Application Systems since 2011 Practical Affairs Representative for Business Informatics since 2009 Professor Johannsen's research spans system development and integration, business application systems, and value-oriented corporate management with particular focus on telecommunications and energy supply industries. His recent work emphasizes IT-Governance, Risk and Compliance Management (IT-GRC) for small and medium enterprises, sustainable logistics solutions using machine learning, and security challenges in digital cooperation. His publication pattern reveals consistent contributions across multiple domains with recent emphasis on: ERP system implementation methodologies and evaluation IT security frameworks for resource-constrained organizations Machine learning applications for sustainable logistics optimization Cloud computing and cooperative business models for SMEs API security and IoT security vulnerabilities Digital sovereignty concerns in business contexts Professional Contributions Professor Johannsen has led numerous research projects including the development of the reference model 'Service- and Cloud-Oriented Architectures for Storage Management' (DICAS) with Berliner Verkehrsbetriebe (BVG) in 2017, Business Process Management implementation with Brandenburg's Central IT Service Provider (2013-2014), and multiple studies on ERP system performance in various business contexts. Teaching and Academic Leadership He has taught a wide range of courses including Information Management, ERP Reporting, Project and Risk Management, and Value-Oriented IT Management. His teaching approach integrates theoretical foundations with practical applications, drawing from his extensive industry experience. He has served in various academic leadership roles including program director for Business Informatics master's and bachelor's programs and as a member of the department council. Research Infrastructure Professor Johannsen leads the 'Process Integration and ERP Systems' competence field which maintains ERP laboratories at FH Brandenburg featuring various ERP installations, particularly SAP and Microsoft systems. This infrastructure supports hands-on teaching and applied research on enterprise systems implementation and integration.

• Mass Spectrometry
• Analytical Chemistry
• Ionization Techniques
• +4 more

Charles N. McEwen serves as Professor of Practice in the Department of Chemistry and Biochemistry, specializing in mass spectrometry innovation to achieve universal ionization capabilities for diverse compound classes including non-polar pesticides and nonvolatile biomolecules. His academic credentials include: BS from The College of William and Mary MS from Atlanta University PhD from the University of Virginia Dr. McEwen's research pioneers atmospheric pressure ionization (API) and MALDI techniques, with core objectives centered on developing ion sources for high-throughput analysis of challenging compounds. His laboratory has engineered breakthrough methods including Laserspray ionization for generating highly charged protein ions and the atmospheric solids analysis probe (ASAP) enabling rapid direct analysis of solids like melamine contaminants. These innovations address critical limitations in commercial mass spectrometers' ability to detect low-polarity compounds, with applications spanning drug discovery, metabolomics, and polymer characterization. Publication analysis reveals sustained contributions from 1981-2010 focused on instrumentation refinement, particularly in polymer analysis through solvent-free MALDI techniques and hybrid LC/GC-MS systems. His work demonstrates consistent advancement in sample preparation methodologies and ionization mechanisms across Analytical Chemistry, Journal of the American Society for Mass Spectrometry, and Science. No scientific awards were documented in the source material. The available text provides no details regarding graduate student mentorship or externally funded research grants. While specific laboratory infrastructure isn't described, his research program centers on instrument development for atmospheric pressure ionization, with emphasis on commercial MS platform integration and high-throughput analytical solutions.

• Computer Science
• Software Engineering
• Windows API Programming
• +2 more

Tomas Plankis serves as an Assistant Professor at the Faculty of Mathematics and Informatics, Vilnius University, with continuous teaching engagement from the 2016/2017 academic year through the 2025/2026 semester. His instructional responsibilities include Programming Windows API (lectures and exercises) and Informatics courses, primarily conducted in room 308 (MIF-Big) and S-103 (MIF-Source). His research expertise centers on Computer Science and Software Engineering, with specialized focus on Windows API Programming and practical application development. This technical specialization indicates deep engagement with operating system interfaces and software architecture for Windows environments, emphasizing hands-on programming methodologies in academic instruction. No scientific awards or fellowships are documented in the available records. Similarly, there is no public information regarding research grants, student advising activities, or laboratory affiliations within the provided institutional schedule data.

Will CrichtonView profile

Assistant Professor

• Programming Language Theory
• Human-Computer Interaction
• Cognitive Psychology
• +6 more

Will Crichton is an Assistant Professor of Computer Science at Brown University, where he leads the Cognitive Engineering Lab. His academic journey includes a PhD from Stanford University (2022) advised by Pat Hanrahan and Maneesh Agrawala, and a BS from Carnegie Mellon University (2016). Prior to his current position, he completed a postdoc at Brown with Shriram Krishnamurthi. PhD, Stanford University (2022) BS, Carnegie Mellon University (2016) Crichton's research uniquely bridges programming language theory and cognitive psychology, focusing on making programming more usable, learnable, and powerful. His work spans three interconnected domains: cognitive theories of computational abstractions, technical foundations of technical communication, and radical teaching tools. He develops systems like program slicers (Flowistry), document languages (Nota), and type system visualizers (Aquascope), with his Rust research having been adopted by over 100,000 developers worldwide. His publication record reveals a consistent focus on the intersection of programming languages and human factors. Recent work shows increasing emphasis on Rust programming language tools (2022-2025), document representation systems (2021-2024), and educational methodologies for programming language learning (2023-2024), demonstrating how theoretical programming language concepts can be made practically accessible to developers. Distinguished Paper award for Profiling Programming Language Learning (OOPSLA 2024) SIGPLAN Research Highlight for A Grounded Conceptual Model for Ownership Types in Rust (OOPSLA 2023) Crichton actively contributes to the Rust ecosystem through tools like Flowistry (a program slicer for Rust) and an experimental Rust textbook. His teaching philosophy emphasizes grounded approaches to programming language education, as evidenced by his work on the Rust Book Experiment. He has presented his research at venues including Jane Street (2025), P99 CONF (2024), and IWACO (2024), demonstrating practical applications of his theoretical work. At Brown University, Crichton's Cognitive Engineering Lab serves as the hub for his research on how cognitive principles can inform programming language design and implementation. The lab develops tools that help programmers understand complex systems through visualizations and interactive interfaces, with particular focus on Rust's ownership model and document representation systems.

• Public Health
• Epidemiology
• Health Disparities
• +5 more

Kat Saxton serves as Associate Professor in the Biology Department and Public Health Department at Santa Clara University's College of Arts and Sciences, while holding significant administrative roles as Associate Dean of the College of Arts and Sciences and Director of the Individual Studies Program. Her dual academic appointments reflect her interdisciplinary approach bridging biological and population health sciences. Her research program centers on critical public health challenges with emphasis on: Structural determinants of health inequities, particularly homelessness and racial disparities in mortality Evolutionary perspectives on reproductive health and sex ratio dynamics Biopsychosocial mechanisms linking economic stressors to adverse birth outcomes Methodological innovations in separating biological and social effects in epidemiological data Vulnerability of marginalized populations to environmental and policy changes Analysis of her recent publications (2024-2018) reveals consistent focus on mortality patterns among homeless populations, with groundbreaking work on the 'racial mortality inversion' phenomenon where Black individuals experiencing homelessness show lower mortality than White counterparts. Her scholarship uniquely integrates evolutionary biology frameworks with social epidemiology, examining how economic contractions trigger biological adaptations affecting periviable births and stress responses. This transdisciplinary approach connects macro-level policy impacts to micro-level physiological mechanisms. No scientific awards were documented in the source materials. Administrative leadership responsibilities as Associate Dean and Director of Individual Studies Program suggest substantial institutional service, though specific advising activities, grant funding, or laboratory facilities were not mentioned in available information.

• Reverse Logistics
• Sustainable Logistics
• Closed-Loop Supply Chain
• +10 more

Xu Sun is a Postdoctoral Fellow at the Department of Industrial Engineering, UiT The Arctic University of Norway, Campus Narvik. His research bridges logistics, sustainability, and digital innovation within Industry 4.0/5.0 frameworks, with a focus on practical applications in Norwegian contexts including electric vehicle infrastructure and pandemic response. His research portfolio spans Reverse Logistics, Sustainable Logistics, Closed-Loop Supply Chains, Digital Twins, and Industry 5.0 integration. Key themes include applying generative AI to logistics network design, optimizing charging infrastructure for electric trucks, and developing digital twins for circular economy systems. His work emphasizes multi-objective decision-making to balance environmental, social, and economic sustainability in logistics operations. Analysis of Xu Sun's publication trends reveals a strategic shift toward human-centric digital solutions in logistics. Recent works integrate generative AI, digital twins, and simulation to address Industry 5.0 challenges, with notable emphasis on electric mobility infrastructure (2024-2025) and pandemic-related logistics (2021-2022). His research consistently employs case studies from Norway, demonstrating practical applicability while advancing theoretical models for sustainable supply chains. No scientific awards were documented in the source material. While specific student advising details are absent from the profile, Xu Sun's collaborative publication record indicates active mentorship within research teams. His projects frequently involve multi-institutional partnerships and industry engagement, though explicit grant information is not provided in the available text. Xu Sun contributes to the ArcLog research group's Intelligent Manufacturing and Logistics team and leads the 'Industry 5.0 enabled Smart Logistics' project. His work leverages tools like AnyLogic simulation and digital twin technology to develop human-centered logistics solutions, with physical operations based in Campus Narvik office D2150.

Nate FosterView profile

Professor

• Programming Languages
• Networking
• Software-Defined Networking
• +5 more

Nate Foster is a Professor of Computer Science at Cornell University's Bowers Computing and Information Science college. He also serves as a Visiting Professor at EPFL's Data Center Systems Laboratory during the 2023-24 academic year and as a Visiting Researcher at Jane Street. His research focuses on developing languages and tools that make it easy for programmers to build secure and reliable systems, with particular emphasis on software-defined networking. Dr. Foster's educational background includes: PhD in Computer Science from the University of Pennsylvania MPhil in History and Philosophy of Science from Cambridge University BA in Computer Science from Williams College Nate Foster's research spans multiple areas within programming languages and systems. His current work focuses on the design and implementation of languages for programming software-defined networks. He has also made significant contributions to bidirectional languages (also known as "lenses"), database query languages, data provenance, type systems, mechanized proof, and formal semantics. His interdisciplinary approach combines theoretical foundations with practical systems building, seeking to bridge the gap between formal methods and real-world network programming. An analysis of Foster's recent publications reveals a strong focus on network programming languages, particularly NetKAT and P4. His work consistently applies formal methods to networking problems, with increasing emphasis on verification, equivalence checking, and symbolic execution techniques. The research trajectory shows progression from foundational language design to practical verification tools, demonstrating how theoretical programming language concepts can solve real-world networking challenges. Dr. Foster has received numerous prestigious awards for his contributions: Sloan Research Fellowship NSF CAREER Award ACM SIGPLAN Robin Milner Young Researcher Award (2023) Most Influential POPL Paper Award Tien '72 Teaching Award Google Research Award Yahoo! Academic Career Enhancement Award Cornell Engineering Research Excellence Award Morris and Dorothy Rubinoff Award ACM SIGCOMM Rising Star Award As an active member of the programming languages community, Foster has advised numerous graduate students and secured significant research funding through his NSF CAREER award and Google Research Award. He has served in leadership roles for major conferences including PLDI, POPL, and ICFP, demonstrating his commitment to mentoring the next generation of researchers through programs like PLMW@PLDI. His collaborative approach is evident in his extensive co-authorship network across academia and industry. Foster leads research in the area of programming languages for networking, with particular focus on the NetKAT framework for network verification. His work bridges the gap between formal methods and practical networking systems, creating tools that have influenced both academic research and industry practice in software-defined networking. His collaborations with institutions like EPFL and industry partners like Jane Street demonstrate the real-world impact of his research agenda.

Baishakhi RayView profile

Associate Professor

• Software Engineering
• Security
• Artificial Intelligence
• +1 more

Baishakhi Ray is an Associate Professor of Computer Science at Columbia University's School of Engineering and Applied Science. Her work focuses on the intersection of AI, Software Engineering, and Security. She received her Ph.D. from the University of Texas, Austin and has established herself as a leading researcher in software engineering with AI applications. Dr. Ray's educational background includes a Ph.D. from the University of Texas, Austin. Her academic journey has led to a prominent position at Columbia University where she continues to advance research in software engineering. Dr. Ray's research spans several critical areas at the intersection of software engineering and artificial intelligence. Her work explores how machine learning techniques can improve software development processes, enhance security practices, and address challenges in program analysis. She has made significant contributions to understanding how large language models can be effectively applied to code generation, vulnerability detection, and software testing. Her research has practical implications for improving software reliability and security in real-world applications, particularly in safety-critical domains like autonomous systems. Analysis of Dr. Ray's recent publications reveals a clear trajectory toward leveraging AI for practical software engineering challenges. Her work has evolved from foundational program analysis techniques to cutting-edge applications of large language models in code understanding and generation. A notable trend is her focus on making AI-assisted software development more reliable, secure, and energy-efficient. Her research increasingly addresses the practical limitations of current AI approaches while developing novel methodologies to overcome them. IEEE TCSE Rising Star Award NSF CAREER Award IBM Faculty Award VMWare Faculty Award ICSME Most Influential Paper Award (2023) FSE'17 Distinguished Paper ASE'22 Distinguished Paper ISSTA'23 Distinguished Paper CACM Research Highlights Dr. Ray actively mentors graduate students and has built a productive research group focused on AI-driven software engineering solutions. Her research has been supported by prestigious grants including the NSF CAREER award. She has successfully guided numerous students through their research projects, with several of her advisees making significant contributions to publications in top-tier conferences. Dr. Ray also serves as an Amazon Visiting Academic, bridging academia and industry to address real-world software engineering challenges. Through her leadership in various research projects and collaborations, Dr. Ray has established a dynamic research environment that combines theoretical rigor with practical applications. Her work often involves interdisciplinary collaboration across computer science subfields, particularly connecting software engineering with security and AI research communities.

• Data Science
• Digital Humanities
• Information Privacy
• +10 more

Vassilis Routsis serves as a Lecturer in Technologies in the Digital Humanities at University College London's Department of Information Studies, holding a dual appointment as Senior Research Fellow. His primary responsibility involves managing the UK Data Service's census flow data project, working closely with the Office for National Statistics (ONS) to disseminate 2011 and 2021 UK census data. Currently, he leads the development of next-generation tools including sophisticated APIs with subsetting capabilities and user-friendly interfaces for census data discovery and extraction. Routsis earned his PhD from UCL with research focused on Informational Privacy and Self-Disclosure Online: A Critical Mixed-Methods Approach to Social Media . His academic background includes a BA in Sociology and an MSc in Social and Political Theory, establishing a robust foundation in social sciences that informs his interdisciplinary approach to digital humanities. His research spans the intersection of technology and social sciences, with particular emphasis on data privacy, census data analysis, and AI applications for social research. Routsis currently leads the ESRC-funded CORDIAL-AI project exploring how Large Language Models can improve access to complex datasets, and co-leads the Census Innovation at CeLSIUS project focused on enhancing access to restricted UK Census data through synthetic datasets and improved user guidance. Routsis teaches postgraduate courses in programming, databases, and AI, leading modules including 'Server-Side Programming and Structured Data,' 'Social Media Analytics,' 'Database Theory and Practice,' and 'Developing Dynamic Web Applications.' His recent publications demonstrate a clear trend toward making complex data more accessible through innovative technological solutions, particularly focusing on census flow data and AI methodologies for data retrieval. ESRC-funded CORDIAL-AI project lead Census Innovation at CeLSIUS project co-lead Member of Royal Statistical Society Peer reviewer for Digital Humanities Conference and iConference As supervisor for Master's and PhD students in Digital Humanities and Data Science programs, Routsis brings extensive technical expertise across multiple programming languages including Python, JavaScript, PHP, SQL, Java, C#, and R. His work at the UCL Centre for Languages and International Education as a software and web engineer further demonstrates his commitment to developing pedagogical tools that support academic communities.

Zsombor József FöldiView profile

Researcher

• Assyriology
• Mesopotamian History
• Cuneiform Studies
• +5 more

Zsombor J. Földi is an Academic Councillor at the Institute of Assyriology and Hittitology, Ludwig Maximilian University of Munich (LMU), serving as Deputy to Prof. Enrique Jiménez. His work focuses on data management for the Electronic Babylonian Library (eBL) platform, which curates over 25,000 cuneiform tablets. He holds a Post-Doc from Universität Leipzig and is an alumnus of Eötvös Loránd University (Assyriology and Hebrew). His research bridges Assyriology with digital humanities, material science, and prosopography. Key projects include Quantitative mineral analysis of Mesopotamian cylinder seals using Raman spectroscopy Fragment identification and reassembly in the eBL Fragmentarium Prosopographical studies of Old Babylonian documents from Larsa and Sippar His publications span Sumerian hymns (e.g., Enūma eliš comparisons), wisdom texts ( Counsels of Wisdom ), and glyptic studies. Recent works highlight algorithmic string alignment for cuneiform and the legal implications of seal loss in Mesopotamia. He contributes to open-source cuneiform datasets and APIs, advancing NLP applications in ancient text analysis.

• Pastoral Studies
• Biblical Studies
• Theological Studies
• +4 more

Lim Eng Chuan serves as an adjunct lecturer at the Asian Pastoral Institute (API) in Singapore, teaching in the MBA programme while contributing to academic domains including Pastoral Studies, Biblical Studies, Theological Studies, and Counselling & Community Work. His unique interdisciplinary profile bridges engineering, business administration, and pastoral care. His educational background encompasses: Diploma in Mechanical Engineering, Singapore Polytechnic (Student Union President) Bachelor of Science in Mechanical Engineering, University of Strathclyde, UK Master in Business Administration, University of Strathclyde, UK Master of Arts in Pastoral Studies, Asian Pastoral Institute Master of Social Science (Professional Counselling), Swinburne University, Australia Doctor of Education in Community Care and Counselling (ongoing), Liberty University, USA Lim Eng Chuan's research and practice focus on integrating pastoral care with professional counselling for family and marital issues. With over ten years of field experience across India, China, and Southeast Asia—including work with MBA students facing anxiety and stress—he emphasizes cross-cultural competence developed through three years living in the United Kingdom. His current doctoral research extends this community-focused approach to global contexts. His professional narrative combines academic instruction with hands-on community service, reflecting API's mission of practical faith application. Though no formal research grants are documented, his international counselling work demonstrates applied scholarship in diverse cultural settings.

• Biblical Studies
• New Testament
• Johannine Literature
• +2 more

Dr. Quek Pei Jun serves as a faculty member at the Asian Pastoral Institute (API) in Singapore, teaching Adult Christian Education (ACE) courses while providing pastoral care and mentorship to youths and young adults. Her ministry involvement spans Worship (as bass guitarist), PA & Media, and Events Management Committees, reflecting an integrated approach to theological practice. Her educational background includes: PhD in Environmental Engineering, National University of Singapore Currently pursuing PhD in Theology, Durham University Academic interests center on Biblical Studies with specialized focus on New Testament exegesis and Johannine literature (Gospel/Epistles of John), complemented by active engagement in Pastoral and Theological Studies. This reflects her transition from engineering to full-time ministry after private-sector experience. No formal research grants or academic advisees are documented, though she mentors church youths. Ministry teams demonstrate hands-on application of her engineering-trained precision in media/technical operations, bridging technical expertise with theological education.